A random mix from the whole library. Shuffle for a new set.
Creator Leslie Samuel has the AI manage his Facebook Marketplace selling. When a buyer asked the dresser's dimensions, the AI relayed the question to him, sent his answer to the buyer, and she bought it the next day. The AI also reports inquiries per listing and reminded him of two year-old listings he had forgotten, deleting them after his approval. He has listed three items this way in a week: one sold, one pending pickup.
Bybatee's AI agent 'squishy' sent 25 outreach emails to brands in her niche — with her metrics, portfolio, and media kit attached — and set automated follow-ups after 3 days for non-responses.
A shopper handed the AI a product and a budget and the bot hunted stacked discounts for him, finding about $310 off a $1,550 drone. The saving came from combining offers rather than a single coupon.
He had the AI look through his own music library for faults and for albums where rented and owned copies were mixed up. The AI made a full interactive view of what it found.
Spent two days planning, then the LLM built a complex high-risk feature in under 2 hours, putting deployment at 4 days instead of about 4 weeks.
His SightRead.org project uses the MusGlyphs font, but glyphs he needed were missing, and editing the font by hand was so off putting that his releases slowed down. The AI added the glyphs he needed with little handholding, then went back and fixed his own hand made glyphs with consistent spacing and no warnings.
He turned his 15,000 saved Wispr Flow dictations into a test set for the local Whisper model behind his AI Agent. The agent made find and fix rules from the words Whisper kept mishearing, tested each rule against the full history, and got hard words right far more often: 99 of 240 up to 183 of 240 on old clips, and 19 of 45 up to 43 of 45 on sentences he read out loud.
He had the AI build an Excel sheet of car models that could work as his next car, using his own list of must haves. The sheet came back with 65 options, with size, comfort and whether each one comes as an automatic.
He mined his old Twitter archive with help from the AI. His old threads of more than three tweets and his collections of links are now on his own site as historic blog posts.
Freelancer Justin Blaze Martin posted on X on Oct 19 that the first thing his Dot did was go through his three inboxes and find a $4,000 invoice from July that he had forgotten to send a client. The Dot assembled the invoice from the email thread and had it ready to send after his approval.